WalkMe Builder creating interactive digital guidance solutions for Australian clients. Manage projects from scope to go - live while ensuring user engagement and satisfaction with digital tools.
About the role
- Senior Data Solutions Developer for Boeing designing and implementing complex data solutions across multiple platforms and cloud services. Leading the analysis of end-user processes and optimizing data pipelines.
Responsibilities
- Leads and performs the design, program, test, implementation and documentation of highly complex computing applications and software system architectures or computing architecture and computing application system designs
- Works with SAP B4/Hana data modeling skills needed for data acquisition, ETL/ELT for analytics, integrations and connection to Cloud Service Provider (CSP) (AWS/GCP/Azure)
- Understands datastores object/Operational Data Store (ODS) views, hierarchies & master data, data governance standards, security & policies, integrations needed for SAP integrations with data lakes & cloud platforms
- Creates and implements repeatable and reusable patterns for delivering Data and Artificial Intelligence (AI) solutions
- Initiates and leads the analysis of end user processes to define application requirements
- Designs, implements, and optimizes end to end data pipelines framework, automation for ingesting, processing and transforming large volumes of structures and unstructured data
- Designs and implements data products, data storage solutions including relational databases, Datawarehouse, data lakes and cloud storage services
- Optimizes robust Extract Load Transform/Extract Transform Load (ELT/ETL) pipelines to gain scalability & performance of analytics solutions and operational use cases
- Builds and maintains integrations with internal and external data source and Application Program Interfaces (APIs)
- Writes and compiles highly-complex code and constructs based on documented design or designs application architecture that integrates application software and delivery subsystems for specific applications
- Leads and performs analysis of information to determine architecture specifications, parameters for software compatibility, application security needs and other application architecture requirements
Requirements
- 5+ years of experience building platforms and data products
- 5+ years of experience working with data and data warehousing business solutions
- 3+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
- Experience with data pipeline tools and Extract Transform Load (ETL) services
- Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
- Experience with Artificial Intelligence (AI) hardware and software integration
- Experience with C++, Python and Java
- Experience with IoT, digital thread and digital twin development capability on cloud platforms like AWS, Azure, or GCP
Benefits
- health insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid and unpaid time away from work
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